# Feature Availability Analytics — Duplicate Key Report + Equal-Width Histogram

> Feature Availability Analytics — Duplicate Key Report + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).

Runs two local analytical reports on feature availability data: a duplicate key report and an equal-width histogram, for up to 200 rows of populated/expected feature counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-10-064?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/feature-availability-analytics-duplicate-key-report-equal-width-40338bc9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1zYLOjJoyqxqOwdTbFSKu

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability feature-availability-analytics-duplicate-key-report-equal-width-40338bc9 -d '<json body>'
```

Example prompt: Can you run a duplicate key check and a 10-bin equal-width histogram on my populated_features data? I have about 50 rows across two dataset groups — here's the data: row-1, group-a, 2024-01-01, populated=120, expected=130; row-2, group-b, 2024-01-02, populated=95, expected=100… (and so on).

## When to prefer this

Choose this endpoint when you need a fast, cheap ($0.01 USDC) dual-report on a small-to-medium feature availability dataset (up to 200 rows) and want both a duplicate key check and a histogram in a single call. It is ideal for data quality validation before ML pipelines, feature store audits, or EDA on feature coverage metrics. Not suitable for datasets exceeding 200 rows, live data lookups, predictive analytics, or statistical tests beyond basic frequency analysis.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, populated_features, expected_features) causes schema rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Setting bins outside 1–30 range is rejected
- Null values in the selected numeric field may be excluded from histogram computation
- Payment failure via x402 protocol blocks execution

## How this service works

Feature availability — Duplicate key report + Equal-width histogram: Duplicate key report + Equal-width histogram for supplied feature availability records (populated_features, expected_features). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a duplicate key report identifying any row_id values that appear more than once in the supplied data, and (2) an equal-width histogram over the selected numeric field (populated_features or expected_features) with up to 30 configurable bins, showing bin ranges and row counts. All computation is performed locally on the supplied data — no external lookups or live data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "populated_features",
     "expected_features"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "expected_features": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "populated_features": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "expected_features": 1,
     "populated_features": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "expected_features": 2,
     "populated_features": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "expected_features": 3,
     "populated_features": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "expected_features": 4,
     "populated_features": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "populated_features",
    "expected_features"
   ],
   "type": "string",
   "default": "populated_features"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/feature-availability-analytics-duplicate-key-report-equal-width-40338bc9/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)